Nowadays, digitalization and automation are a common trend for many companies of various areas including the oil and gas production industry. Processes of initial data preliminary analysis (unification, merging, depth shifting) and petrophysical preparation for calculations (lithology differentiation, averaging, measurements calculation etc.) in the framework of geophysical well logging (GWL) data interpretation take a significant amount of time. Incorporation of automation algorithms tuned for specific sediments enables to considerably reduce labour effort what increases the time needed for the analytical part of the interpretation. The developed approach is an integrated algorithm which helps to perform preliminary preparation and interpretation of GWL data in the framework of integrated adjustable process with minimum participation of the interpreter in routine operations. The features of the virtual assistant are coded in Python.

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